Evidence map›Paper›PMID 30456308›Full record

ArticleNPJ precision oncology2018

Transcriptomic analysis of hepatocellular carcinoma reveals molecular features of disease progression and tumor immune biology.

K Okrah, S Tarighat, B Liu, H Koeppen, M C Wagle, G Cheng, C Sun, A Dey, M T Chang, T Sumiyoshi and 9 more

Open access · goldAbstract read
In one paragraph

Article in NPJ precision oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
2.0field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. State-of-the-Art Liver Cancer Organoids: Modeling Cancer Stem Cell Heterogeneity for Personalized Treatment.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2025
    Review
  7. Article
  8. Review
  9. Article
  10. A decade of liver organoids: Advances in disease modeling.Clinical and molecular hepatology · 2023
    Review
  11. Review
  12. Article
  13. Review
  14. Review
  15. Review
  16. Review
  17. Article
  18. Review
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors at 3 institutions in 2 countries.

K Okrah *1Department of Biostatistics, Genentech, 1 DNA Way, South San Francisco, CA 94080 USA.
S Tarighat *2Department of Oncology Biomarker Development, Genentech, 1 DNA Way, South San Francisco, CA 94080 USA.
B Liu *2Department of Oncology Biomarker Development, Genentech, 1 DNA Way, South San Francisco, CA 94080 USA.
H Koeppen3Department of Research Pathology, Genentech, 1 DNA Way, South San Francisco, CA 94080 USA.
M C Wagle2Department of Oncology Biomarker Development, Genentech, 1 DNA Way, South San Francisco, CA 94080 USA.
G Cheng2Department of Oncology Biomarker Development, Genentech, 1 DNA Way, South San Francisco, CA 94080 USA.
C Sun2Department of Oncology Biomarker Development, Genentech, 1 DNA Way, South San Francisco, CA 94080 USA.
A Dey4Department of Research, Genentech, 1 DNA Way, South San Francisco, CA 94080 USA.
M T Chang4Department of Research, Genentech, 1 DNA Way, South San Francisco, CA 94080 USA.
T Sumiyoshi2Department of Oncology Biomarker Development, Genentech, 1 DNA Way, South San Francisco, CA 94080 USA.
Z Mounir2Department of Oncology Biomarker Development, Genentech, 1 DNA Way, South San Francisco, CA 94080 USA.
C Cummings2Department of Oncology Biomarker Development, Genentech, 1 DNA Way, South San Francisco, CA 94080 USA.
G Hampton2Department of Oncology Biomarker Development, Genentech, 1 DNA Way, South San Francisco, CA 94080 USA.
L Amler2Department of Oncology Biomarker Development, Genentech, 1 DNA Way, South San Francisco, CA 94080 USA.
J Fridlyand1Department of Biostatistics, Genentech, 1 DNA Way, South San Francisco, CA 94080 USA.
P S Hegde2Department of Oncology Biomarker Development, Genentech, 1 DNA Way, South San Francisco, CA 94080 USA.
S J Turley4Department of Research, Genentech, 1 DNA Way, South San Francisco, CA 94080 USA.
M R Lackner2Department of Oncology Biomarker Development, Genentech, 1 DNA Way, South San Francisco, CA 94080 USA.
S M Huang2Department of Oncology Biomarker Development, Genentech, 1 DNA Way, South San Francisco, CA 94080 USA.
Gene Therapy Laboratory · FRGenesys (United States) · USCancer Research And Biostatistics · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) develops in the context of chronic inflammatory liver disease and has an extremely poor prognosis. An immunosuppressive tumor microenvironment may contribute to therapeutic failure in metastatic HCC. Here, we identified unique molecular signatures pertaining to HCC disease progression and tumor immunity by analyzing genome-wide RNA-Seq data derived from HCC patient tumors and non-tumor cirrhotic tissues. Unsupervised clustering of gene expression data revealed a gradual suppression of local tumor immunity that coincided with disease progression, indicating an increasingly immunosuppressive tumor environment during HCC disease advancement. IHC examination of the spatial distribution of CD8+ T cells in tumors revealed distinct intra- and peri-tumoral subsets. Differential gene expression analysis revealed an 85-gene signature that was significantly upregulated in the peri-tumoral CD8+ T cell-excluded tumors. Notably, this signature was highly enriched with components of underlying extracellular matrix, fibrosis, and epithelial-mesenchymal transition (EMT). Further analysis condensed this signature to a core set of 23 genes that are associated with CD8+ T cell localization, and were prospectively validated in an independent cohort of HCC specimens. These findings suggest a potential association between elevated fibrosis, possibly modulated by TGF-β, PDGFR, SHH or Notch pathway, and the T cell-excluded immune phenotype. Indeed, targeting fibrosis using a TGF-β neutralizing antibody in the STAM™ model of murine HCC, we found that ameliorating the fibrotic environment could facilitate redistribution of CD8+ lymphocytes into tumors. Our results provide a strong rationale for utilizing immunotherapies in HCC earlier during treatment, potentially in combination with anti-fibrotic therapies.

Identifiers

PMID30456308
PMCPMC6237857
OpenAlexW2900422927

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.